Computer Science and Programming
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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science
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Red:📈 Análisis del canal de Telegram Computer Science and Programming
El canal Computer Science and Programming (@computer_science_and_programming) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 141 199 suscriptores, ocupando la posición 819 en la categoría Tecnologías y Aplicaciones y el puesto 86 en la región Italia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 141 199 suscriptores.
Según los últimos datos del 01 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -728, y en las últimas 24 horas de -36, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 8.35%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.10% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 11 791 visualizaciones. En el primer día suele acumular 2 964 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 17.
- Intereses temáticos: El contenido se centra en temas clave como sellerflash, github, developer, pricing, waybienad.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Channel specialized for advanced topics of:
* Artificial intelligence,
* Machine Learning,
* Deep Learning,
* Computer Vision,
* Data Science
* Python
Admin: @otchebuch
Memes: @memes_programming
Ads: @Source_Ads,
https://telega.io/c/computer_sc...”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 02 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
141 199
Suscriptores
-3624 horas
-2827 días
-72830 días
Carga de datos en curso...
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| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 02 agosto | +6 | |||
| 01 agosto | 0 |
Publicaciones del Canal
Substack writers, you need a website
Writers who rely on Substack as their primary digital home are making a strategic mistake. Substack and similar platforms are distribution tools, not permanent homes — when you build on someone else's platform, you're a tenant, not an owner. The POSSE model (Publish on your Own Site, Syndicate Elsewhere) offers a better approach: publish first to a domain you own and control, then use platforms like Substack purely as distribution channels. John Scalzi's 28-year independent blog is cited as a model of digital sovereignty. Platform algorithms favor dominant narratives, terms can change overnight, and content can be lost — owning your domain protects your long-term visibility and creative independence.
| 2 |  The Disappearing Senior: AI and Entry Level Jobs
AI is eliminating entry-level developer work, but there's a less-discussed second effect: senior engineers are quietly losing their skills by only approving AI-generated output rather than doing the work themselves. The 'reasoning muscle' atrophies when judgment is never exercised. Meanwhile, no new seniors are being produced because the junior work that used to forge them is gone. Practical countermeasures include deliberately doing one thing the hard way each week, asking AI to defend its choices rather than just accepting answers, keeping a log of AI errors, and giving juniors the 'boring' work instead of offloading it to machines. No systemic fix is coming — individual engineers must maintain their own skills deliberately. | 3 867 |
| 3 |  CVE-2026-59328: Cross-Site Scripting in Eclipse Spring Boot Starter Wizard Dependency Tooltips
A CVE advisory (CVE-2026-59328) has been published for a Cross-Site Scripting (XSS) vulnerability found in the Eclipse Spring Boot Starter Wizard's dependency tooltips. The advisory is hosted on spring.io and relates to the Eclipse IDE plugin used for Spring Boot project setup. | 4 857 |
| 4 |  Announcing DuckDB 1.5.5
DuckDB 1.5.5 has been released as the sixth patch in the 1.5 (Variegata) line. The release includes bugfixes, performance improvements, correctness fixes, crash and internal error resolutions, and security patches. Full release notes are available on GitHub, with v2.0.0 expected in the | 5 374 |
| 5 | Hello everyone some of you may not know but now we started to expand to WhatsApp and we are inviting you to join our WhatsApp channel link here 👇👇👇👇👇
WhatsApp Computer Science and Technology
We welcome you all to be part of this family | 10 100 |
| 6 |  How I Learned to Structure React Projects Around Change, Not Folders
Technical folder structures (components, hooks, services, utils) make React repos easy to browse but hard to change, because a single feature's logic is scattered across unrelated directories. The key insight is organizing code around ownership of change rather than file type. This means colocating a feature's components, state, validation, API calls, and business rules under one feature directory. State placement should reflect lifecycle and source of truth, not convenience. Business rules belong near the feature that owns them, not in generic utils. Shared code should only be extracted when callers truly share the same meaning and change together. Finally, dependency direction matters: features should depend on stable shared primitives, not each other's internals. The real test of an architecture is how confidently a developer can locate the owner of the next change. | 10 762 |
| 7 |  Locally great, globally drifting
An evaluation of AI-generated frontend code in a real product reveals a recurring pattern: AI performs well in isolated, localized contexts but struggles to maintain consistency at the system level. The post argues that AI should be used as a candidate generator and validator rather than as the final decision-maker in code review. | 9 748 |
| 8 | Hello everyone some of you may not know but now we started to expand to WhatsApp and we are inviting you to join our WhatsApp channel link here 👇👇👇👇👇
WhatsApp Computer Science and Technology
We welcome you all to be part of this family | 10 900 |
| 9 |  The Joy of Old-School Coding After a Stupid Mistake
A short personal reflection on the frustration and satisfaction of debugging without AI assistance. The author made a mistake using a collection to map a one-to-one relationship in Entity Framework Core, which only integration tests caught. After resisting the urge to use Copilot, they found the fix themselves — a one-line change — and reflect on the emotional cycle of coding: frustration followed by joy. | 10 428 |
| 10 |  Announcing .NET Modernization for Beginners
Microsoft has released a free, open-source, hands-on course called '.NET Modernization for Beginners' to help developers upgrade legacy ASP.NET applications to .NET 10 using the GitHub Copilot modernization agent. The four-chapter course covers assessment, planning, upgrade execution, and cloud deployment to Azure App Service. Unlike typical agentic tools, the GitHub Copilot modernization agent produces transparent, editable artifacts (assessment.md, plan.md, tasks.md) that developers review and adjust before any code changes occur. A GitHub Copilot subscription and Visual Studio 2022 (17.10+) are required. | 11 848 |
| 11 |  SkiaSharp for .NET
SkiaSharp 4.0 is now stable, marking the biggest release in years for the cross-platform rendering library that underpins .NET MAUI, WinUI 3, and Uno Platform. Built on Google's Skia engine (which also powers Chrome and Android), SkiaSharp provides a single GPU-accelerated, pixel-perfect rendering API across Windows, macOS, Linux, iOS, Android, and WebAssembly. Version 4.0 brings the native engine current through Skia milestone m148 (28 upstream milestones), a reworked object lifecycle that eliminates use-after-free crashes, variable font support, color font palettes, animated WebP encoding, and up to 24% faster GPU rendering (30% for Uno Platform apps). Uno Platform is now a formal co-maintainer alongside Microsoft's .NET team, ensuring predictable release cadence | 16 376 |
| 12 | Hello everyone some of you may not know but now we started to expand to WhatsApp and we are inviting you to join our WhatsApp channel link here 👇👇👇👇👇
WhatsApp Computer Science and Technology
We welcome you all to be part of this family | 14 174 |
| 13 |  DuckDuckGo browser now blocks YouTube video ads
DuckDuckGo's browser now blocks most YouTube video ads, including pre-roll and mid-roll ads, across iOS, Mac, and Windows by default. Android users must enable it manually in Settings. The feature uses community-maintained filter lists from uBlock Origin, supplemented by DuckDuckGo's own compatibility rules. It works separately from the existing Duck Player feature, and both can be used simultaneously. DuckDuckGo joins Brave and Opera in offering built-in YouTube ad blocking without third-party extensions. Minor buffering delays may occur, and the feature may occasionally break as YouTube changes its ad-serving methods. | 18 163 |
| 14 | GigaChat 3.5 Ultra Publicly Released — The New Generation of the Flagship Model
The GigaChat team has released GigaChat 3.5 Ultra as open source—a new 432B model under the MIT license. This is the first open-source hybrid of GatedDeltaNet and MLA scaled to hundreds of billions of parameters, featuring a proprietary training recipe we refined through more than 1,500 experiments. The model has grown in terms of code, mathematics, agent scenarios, and application domains—yet it’s 40% smaller than GigaChat 3.1 Ultra.
What’s inside:
🔘A proprietary hybrid MLA + Gated DeltaNet architecture with a dedicated stabilization framework, without which this hybrid setup would not train reliably at this scale;
🔘 Gated Attention: the model can locally down-weight overly strong signals from the attention layer;
🔘GatedNorm: normalization with an explicit gate that controls signal magnitude across features;
🔘Approximately 4x lower KV cache per token: with the same memory budget, the model can support 2.14x longer context and deliver a 20% throughput increase under load;
🔘Two MTP heads, enabling up to 2.2x faster generation;
🔘FP8 across all training stages with no quality degradation compared with bf16, enabled by custom Triton and CUDA kernels;
🔘A new online RL stage after SFT and DPO.
Results:
🔘 GigaChat-3.5-Ultra-Base outperforms DeepSeek V3.2 Exp Base and DeepSeek V4 Flash Base on average across a set of general, math, and code benchmarks:
🔘 GigaChat-3.5-Ultra-Instruct is comparable to DeepSeek V3.2 in terms of average score, despite having half the size;
🔘 According to the MiniMax-M2.7 LLM judge, the average win rate against GigaChat 3.1 Ultra is 75.9%, and against GPT-5 is 68.7%.
The entire stack — data (our own LLM-filtered Common Crawl, 600+ programming languages in the code), architecture, training methodology, and infrastructure — was built end-to-end by GigaChat team.
➡️ HuggingFace | 20 858 |
| 15 |  ⚠ Message was hidden by channel owner | 1 |
| 16 | Announcing SkiaSharp 4.0
SkiaSharp 4.148.0 is now available on NuGet as the first stable release of SkiaSharp v4. The release brings a Skia engine updated to milestone m148, delivering up to 24% faster GPU rendering (65→80 FPS for shadowed UIs), 6x faster CPU Perlin-noise shaders, variable font support, color font palettes, animated WebP encoding, and a cleaned-up API with fixed use-after-free crashes. Uno Platform is a co-maintainer alongside Microsoft's .NET team, meaning faster issue resolution and a predictable release cadence tied to Chrome's Skia milestones. Uno Platform users can opt in by setting the SkiaSharpVersion MSBuild property to 4.148.0. The next preview (4.150.0 Preview 2) is already available and introduces the Graphite next-gen GPU backend. | 14 042 |
| 17 | ⚠ Message was hidden by channel owner | 8 026 |
| 18 |  ⚠ Message was hidden by channel owner | 7 298 |
| 19 |  ⚠ Message was hidden by channel owner | 3 178 |
| 20 |  What's new in Git 2.55.0?
Git 2.55.0 introduces several notable features: a new `git history fixup` subcommand that amends staged changes into an existing commit and auto-rebases stacked branches; fsmonitor daemon support for Linux using inotify(7); the ability to push to a group of remotes with fsmonitor d aat's new in Git 2.55.0option for in Git 2.55.0?
Gitto cap lane width; batched blob downloads for partial clones in git-grep and git-cherry; and Rust is now a required build dependency unless explicitly disabled. | 14 096 |
